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mRMR Feature Selection (using mutual information computation) 1.0
File ID: 79050






mRMR Feature Selection (using mutual information computation) 1.0
Download mRMR Feature Selection (using mutual information computation) 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 532.5 KB
Downloads: 237
User Rating:5 Stars  (1 rating)
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mRMR Feature Selection (using mutual information computation) 1.0 Description
Description: This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003), whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.

Hanchuan Peng, Fuhui Long, and Chris Ding, "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy,"
IEEE Transactions on Pattern Analysis and Machine Intelligence,
Vol. 27, No. 8, pp.1226-1238, 2005. [PDF]

Ding C., and Peng HC, "Minimum redundancy feature selection from microarray gene expression data," Journal of Bioinformatics and Computational Biology,
Vol. 3, No. 2, pp.185-205, 2005. [PDF]

Ding, C and Peng HC, Proc. 2nd IEEE Computational Systems Bioinformatics Conference (CSB 2003),
pp.523-528, Stanford, CA, Aug, 2003.

License: Freeware

Related: minredundancyquotieee, maxrelevance, maxdependency, transactions, Pattern, Machine, Analysis, criteria, Based, Framework, toohanchuan, fuhui, quotfeature, chris, intelligencevol, pp12261238, pp185205, biologyvol, Systems

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 532.5 KB

Downloads: 237



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